Mining h-Dimensional Enhanced Semantic Association Rule Based on Immune-Based Gene Expression Programming

نویسندگان

  • Tao Zeng
  • Changjie Tang
  • Yintian Liu
  • Jiangtao Qiu
  • Mingfang Zhu
  • Shucheng Dai
  • Yong Xiang
چکیده

Rule mining is very important for data mining. However, traditional association rule is relatively weak in semantic representation. To address it, the main contributions of this paper included: (1) proposing formal concepts on hDimensional Enhanced Semantic Association Rule (h-DESAR) with selfcontained logic operator; (2) proposing the h-DESAR mining method based on Immune-based Gene Expression Programming (ERIG); (3) presenting some novel key techniques in ERIG. Experimental results showed that ERIG is feasible, effective and stable.

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تاریخ انتشار 2006